Paper Title: Relaxing the Thrifty Food Plan: How Nutrition Subsidies and Food Pantry Support Reshape Least-Cost Diets. Authors: Yiwen Zhao, Linlin Fan, Norbert L.W. Wilson, Ang�lica Vald�s Valderrama, Parke Wilde.Date: 02/12/20261. OverviewThis archive contains the data and code required to replicate the results in Relaxing the Thrifty Food Plan: How Nutrition Subsidies and Food Pantry Support Reshape Least-Cost Diets. The files are organized into SimpleCode (one straightforward replication) and FullCode (the complete set of analyses and figure).2. File Structuredatao bag rank.xlsxo foodsdata.xlsxo constraints_replicate.dtaCodeSimpleCodeo Price incentive.doo Price incentive.R     FullCodeo Two food pantry bags.doo Two food pantry bags.Ro Two combined interventions.doo Two combined interventions.Ro Figure.RDocumentationo README.txt (this file)o Data_Dictionary.txt3. Instructions for UseSimpleCode* Run Price incentive.do (Stata), then Price incentive.R (R), and finally return to Stata to generate the results table.* The Stata script load the data and create all input datasets used for running optimization model in R* The R script run the optimization solution for the price incentive intervention based on the input data created by Stata.* This is intended as an accessible starting point for users.FullCode* Run the Two food pantry bags and Two combined interventions scripts (Stata and R).* These scripts implement all interventions used in the paper, including loops to replicate the main results.Figures* The Figure.R script generates key plots used in the paper.4. Software Requirements* Stata 17 (or other versions)* R with the following packages:o quadprogo dplyr o ggplot25. Data Documentation* bag rank.xlsx: The rank and calories for 10 selected food categories for two pantry bags* foodsdata.xlsx: Database from 2021 TFP report with grams, price, and all nutrient information for each food category. * constraints_replicate.dta: Stata dataset with all optimization constraints* See Data_Dictionary.txt for variable definitions and coding notes6. Replication Notes* Running SimpleCode should reproduce the example solution shown in Table 1 and 2 of the paper.* Running FullCode reproduces all main results.* Minor differences in results may occur across software versions, but these do not affect the main conclusions.